How to avoid data leaks in Big Data

It is no longer a discussion that every company that aims to survive the demanding current circumstances in the market should use Big Data technology for optimizing their performance. However, the implementations of these tools have to be planned with the highest care, for the success in the implementation is going to depend on Big Data giving value to the entity, and not to become a risk and confusing factor.

In addition, changes in technological forms of communication also change Big Data:

To deal with the inexorable increase in data generation, organizations are spending more of their resources storing this data in a range of cloud-based and hybrid systems optimized for all the “Vs” of big data. In previous decades, organizations handled their own storage infrastructure, resulting in massive data centers that enterprises had to manage, secure and guarantee continued operation. The shift to cloud computing changed that dynamic. By shifting the responsibility to cloud infrastructure providers — such as Amazon, Google, Microsoft, IBM and others — organizations can deal with almost limitless amounts of new data and pay for storage and compute capability on demand without having to maintain their own large and complex data centers. (searchdatamanagement.techtarget.com).

The most known aspect in this problematic is the care companies must have for assuring that Big Data is not going to risk the confidentiality of the entity’s information, because the bigger the information, the higher is the accuracy required in the protection tools. For that reason, the securities that entities should demand from the solutions are significantly high and relevant.

Big Data solutions should offer the possibility of getting flexible and adapting the security parameters to the needs of the company. It is necessary being able to stablish passwords for security, according to the different profiles of the users of the tool, regarding departments and responsibilities within the company, which in turn produces levels of security depending on the levels of responsibility within each department. It is also necessary to stablish passwords for customers that may use the available tools for them on line.

It is the presence of Internet what has to alert the directives regarding these implementations, because a great amount of information is transmitted or extracted from and through this common and public space. The fact of having the corporate information fluctuating on the cloud forces an accurate planning of the security measures that the company will have for preventing information leaks or steals.

No leaking information in Big Data

Currently, one of the manners for offering the best cybersecurity is to offer companies private environments for the information, but that can still work on the cloud and not, as it was at the very beginning, in completely public environments. Private cloud platforms are today what entities chose for protecting their information.

It is also demanded that the implementations have the possibility of filtering the extracted information, in order to have clarity on the origin and the quality of it, the possibility of storing a historic record of that information, and avoid that information from bad sources to get into the systems of the organization.

Finally, encryption and information warehouses with encrypted access are being developed to extreme levels for confidentiality not to be lost when gaining in quantity. Security in Big Data should also be a Big Security in order to have a coherent tool that pushes the development of companies forward.

Likewise, organizations are dealing increasingly with data governance, privacy and security issues. In the past, enterprises were somewhat lax with their concerns around data privacy and governance, but regulations and users are making organizations much more liable for what happens to information. Due to widespread security breaches, eroding customer trust in enterprise data-sharing practices, and challenges in managing data over its lifecycle, organizations are becoming much more involved in data stewardship, working harder to secure and manage data especially as it crosses international boundaries. (searchdatamanagement.techtarget.com).

Dexon BPM solution is an example of an appropriate manage of Big Data in terms of informatic security, because it is a tool that allows taking all the information produced by the company, no matter the kind of format it is in, and making it available for analyses, projections, adjustments, etc. For this, it uses the possibilities of the cloud, which makes it an agile and flexible solution, adaptable to the necessities of each organization. Thus, it guarantees that the entity doesn’t waste resources in managing all the information, but also guarantees that the information is protected and is used only by the company.

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